AILabTools API - Skin analyze Advanced - API

Request

• URL: https://www.ailabapi.com/api/portrait/analysis/skin-analysis-advanced
• Method: POST
• Content-Type: multipart/form-data

Image requirements

• Image format: JPG JPEG
• Image size: No more than 5 MB.
• Image resolution: Larger than 200x200px, smaller than 4096x4096px.
• Minimum face pixel size: To ensure the effect, the minimum value of the face frame (square) in the image should be higher than 400 pixels (which can be verified by passing a reference through the interface).
• Face quality: The higher the face quality, the more accurate the skin analysis. Factors affecting face quality include: occlusion of the five facial features, blurred images, improper lighting (bright, dark, backlight), excessive face angle (recommended yaw ≤ ±30°, pitch ≤ ±40°), etc.

Header

Field	Required	Type	Description
ailabapi-api-key	YES	string	Application API KEY.

Body

Field	Required	Type	Scope	Description
image	YES	file
face_quality_control	NO	integer	0 1	Whether to restrict the quality of faces in incoming images. 0: No face quality control is performed, and skin measurement results are returned as long as the face can be detected. 1: Perform face quality control, if the face quality does not pass it will prompt an error.
return_rect_confidence	NO	integer	0 1	The confidence level of the area whether to return acne, occlusion, blemishes and moles. 0: No regional confidence is returned. 1: Returns the regional confidence.
return_maps	NO	string	red_area	Enter a comma-separated string containing the type of skin chromatography image to be returned. View Details

return_maps

• Request Example

  red_area

• Field Parsing

Field	Description	Return image information
red_area	A red zone map that shows areas of redness caused by facial sensitivity and inflammation.

Response

Parameters

Field	Type	Scope	Description
error_code	integer		Status Code.
error_code_str	string		Error Code.
error_msg	string		Error Message.
request_id	string		Request ID.
log_id	string		Log ID.
warning	array	imporper_headpose	Interference factors affecting the calculation results. imporper_headpose: Improper head angle (Judgment condition roll,yaw,pitch exceeds [-45,45]).
face_rectangle	object		The position of the face rectangle box.
+top	float		The vertical coordinate of the pixel point in the upper-left corner of the rectangle box.
+left	float		The horizontal coordinate of the pixel point in the upper-left corner of the rectangle.
+width	float		The width of the rectangle box.
+height	float		The height of the rectangle box.
result	object		Results of face skin analysis.
+skin_color	object		Skin color test results.
++value	integer	0 1 2 3 4	Skin color. 0: Transparent white. 1: White. 2: Naturally. 3: Wheat. 4: Dark.
++confidence	float	[0, 1]	Confidence.
+skintone_ita	object		Returns skin color classification information based on the ITA (Individual Typology Angle) standard. NOTE
++ITA	float	[-90, 90]	Angle value.
++skintone	integer	0 1 2 3 4 5 6	Classified according to the skin tone of ITA. 0: Very light. 1: Light. 2: Intermediate. 3: Tan. 4: Brown. 5: Dark. 6: Abnormal color values that may be caused by weak lighting conditions or overexposure.
+skin_hue_ha	object		Returns skin tone classification information based on HA (Hue Angle). NOTE
++HA	float	[0, 90]	HA angle value.
++skintone	integer	0 1 2 3	Classified according to HA's skin tone hue. 0: Yellowish. 1: Neutral. 2: Reddish. 3: Abnormal hue values may be caused by abnormal ambient light tones or weak light environment or overexposure.
+skin_age	object		Skin age test results.
++value	integer	[0, 100)	Face skin age value.
+left_eyelids	object		Results of the double eyelid test on the left eye.
++value	integer	0 1 2	Type. 0: Single eyelids 1: Parallel Double Eyelids 2: Scalloped Double Eyelids
++confidence	float	[0, 1]	Confidence.
+right_eyelids	object		Results of the double eyelid test on the right eye.
++value	integer	0 1 2	Type. 0: Single eyelids 1: Parallel Double Eyelids 2: Scalloped Double Eyelids
++confidence	float	[0, 1]	Confidence.
+eye_pouch	object		Eye bag test results.
++value	integer	0 1	With or without eye bags. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+eye_pouch_severity	object		Severity of puffiness under the eyes (return when puffiness test result is 1)
++value	integer	0 1 2	Severity. 0: Mild. 1: Moderate. 2: Severe.
++confidence	float	[0, 1]	Confidence.
+dark_circle	object		Dark circles test results.
++value	integer	0 1 2 3	Type of dark circles under the eyes. 0: No dark circles under the eyes. 1: Pigmented dark circles. 2: Vascular type dark circles under the eyes. 3: Shadow-type dark circles under the eyes.
++confidence	float	[0, 1]	Confidence.
+forehead_wrinkle	object		Results of the head-lift test.
++value	integer	0 1	With or without headlines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+crows_feet	object		Fishtail test results.
++value	integer	0 1	With or without crow's feet. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+eye_finelines	object		Results of the eye fine lines test.
++value	integer	0 1	The presence or absence of fine lines under the eyes. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+glabella_wrinkle	object		Results of the interbrow line test.
++value	integer	0 1	With or without interbrow lines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+nasolabial_fold	object		Results of the forehead line test.
++value	integer	0 1	With or without lines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+nasolabial_fold_severity	object		Severity of the forehead lines (returned when the result of the forehead line test is 1)
++value	integer	0 1 2	Severity. 0: Mild. 1: Moderate. 1: Severe.
++confidence	float	[0, 1]	Confidence.
+skin_type	object		Skin texture test results.
++skin_type	integer	0 1 2 3	Type. 0: Oily skin. 1: Dry skin. 2: Neutral skin. 3: Combination skin.
++details	object		The confidence level of each classification.
+++0	object		Oily skin information.
++++value	integer	0 1	Oily skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++1	object		Dry skin information.
++++value	integer	0 1	Dry skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++2	object		Neutral skin information.
++++value	integer	0 1	Neutral skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++3	object		Combination skin information.
++++value	integer	0 1	Combination skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+pores_forehead	object		Forehead pore test results.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_left_cheek	object		Results of the left cheek pore test.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_right_cheek	object		Results of the right cheek pore test.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_jaw	object		Chin pore test results.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+blackhead	object		Blackhead test results.
++value	integer	0 1 2 3	Severity. 0: No blackheads. 1: Mild. 2: Moderate. 3: Severe.
++confidence	float	[0, 1]	Confidence.
+acne	Object		Acne test results.
++rectangle	array		The location of each pimple box.
+++width	float		Width.
+++height	float		Height.
+++left	float		The distance from the leftmost part of the picture.
+++top	float		The distance from the topmost edge of the image.
++confidence	array		If return_rect_confidence is 1, the confidence that each rectangular region is discriminated as a positive case is returned.
+mole	Object		Mole test results.
++rectangle	array		The position of each mole frame.
+++width	float		Width.
+++height	float		Height.
+++left	float		The distance from the leftmost part of the picture.
+++top	float		The distance from the topmost edge of the image.
++confidence	array		If return_rect_confidence is 1, the confidence that each rectangular region is discriminated as a positive case is returned.
+closed_comedones	Object		Closure returns the result.
++rectangle	array		The position of each closure frame.
+++width	float		Width.
+++height	float		Height.
+++left	float		The distance from the leftmost part of the picture.
+++top	float		The distance from the topmost edge of the image.
++confidence	array		If return_rect_confidence is 1, the confidence that each rectangular region is discriminated as a positive case is returned.
+skin_spot	Object		Spot detection results.
++rectangle	array		The position of each spot box.
+++width	float		Width.
+++height	float		Height.
+++left	float		The distance from the leftmost part of the picture.
+++top	float		The distance from the topmost edge of the image.
++confidence	array		If return_rect_confidence is 1, the confidence that each rectangular region is discriminated as a positive case is returned.
+face_maps	Object		Returns the skin chromatography visualization image set in the entry (return_maps).
++red_area	base64		Red zone map. jpeg images for base64.
+sensitivity	Object		The sensitivity of the human face within the photo. This return value must be used with the red area map, you need to set the return red area map ("red_area") in the input parameter return_maps first.
++sensitivity_area	float	[0, 1]	Sensitive redness areas account for the proportion of cheeks and T-zone.
++sensitivity_intensity	float	[0, 100]	The intensity of redness in sensitive areas.

skintone_ita

ITA (Individual Typology Angle) is an international standard for skin color, which is a method to classify skin color by measuring the color attributes of skin color Lab space. The method is strongly dependent on ambient light, we recommend using flash to take HD face photos for uploading and processing, the ITA angle value measured in natural light or dark environment may not be allowed or abnormal.

According to the data taken by the rear flash of the phone, the current skin color classification reference.

skintone	Scope	Description
0	56 < ITA < 90	Very light.
1	43 < ITA <= 56	Light.
2	36 < ITA <= 43	Intermediate.
3	20 < ITA <= 36	Tan.
4	10 < ITA <= 20	Brown.
5	-90 < ITA <= 10	Dark.
6	Other	Abnormal color values that may be caused by weak lighting conditions or overexposure.

tip

You can also use the returned ITA value to define your classification based on the returned ITA angle at the time of access.

skin_hue_ha

HA (Hue Angle) is an international standard for skin color, which is a method to classify skin color by measuring the color attributes of skin color Lab space. The method is strongly dependent on ambient light, we recommend using flash to take HD face photos for uploading and processing, the HA angle value measured in natural light or dark light environment may not be allowed or abnormal.

According to the data taken by the rear flash of the phone, the current skin tone classification reference.

skintone	Scope	Description
0	49 < HA <= 90	Yellowish.
1	46 <= HA < 49	Neutral.
2	10 <= HA < 46	Reddish.
3	Other	Abnormal hue values may be caused by abnormal ambient light tones or weak light environment or overexposure.

tip

You can also use the returned ITA value to define your classification based on the returned ITA angle at the time of access.

Example

{
  "error_code": 0,
  "error_code_str": "",
  "error_msg": "",
  "request_id": "",
  "log_id": "",
  "warning": [],
  "face_rectangle": {
    "top": 0,
    "left": 0,
    "width": 0,
    "height": 0
  },
  "result": {
    "skin_color": {
      "value": 0,
      "confidence": 0.89
    },
    "skin_age": {
      "value": 9
    },
    "left_eyelids": {
      "value": 0,
      "confidence": 0.89
    },
    "right_eyelids": {
      "value": 0,
      "confidence": 0.89
    },
    "eye_pouch": {
      "value": 0,
      "confidence": 0.89
    },
    "dark_circle": {
      "value": 0,
      "confidence": 0.89
    },
    "forehead_wrinkle": {
      "value": 0,
      "confidence": 0.89
    },
    "crows_feet": {
      "value": 0,
      "confidence": 0.89
    },
    "eye_finelines": {
      "value": 0,
      "confidence": 0.89
    },
    "glabella_wrinkle": {
      "value": 0,
      "confidence": 0.89
    },
    "nasolabial_fold": {
      "value": 0,
      "confidence": 0.89
    },
    "skin_type": {
      "skin_type": 0,
      "details": {
        "0": {
          "value": 1,
          "confidence": 0.89
        },
        "1": {
          "value": 1,
          "confidence": 0.89
        },
        "2": {
          "value": 0,
          "confidence": 0.01
        },
        "3": {
          "value": 0,
          "confidence": 0.01
        }
      }
    },
    "pores_forehead": {
      "value": 0,
      "confidence": 1
    },
    "pores_left_cheek": {
      "value": 0,
      "confidence": 1
    },
    "pores_right_cheek": {
      "value": 0,
      "confidence": 1
    },
    "pores_jaw": {
      "value": 0,
      "confidence": 1
    },
    "blackhead": {
      "value": 0,
      "confidence": 1
    },
    "acne": {
      "rectangle": [
        {
          "width": 3,
          "top": 17,
          "height": 1,
          "left": 35
        },
        {
          "width": 4,
          "top": 20,
          "height": 1,
          "left": 35
        }
      ]
    },
    "closed_comedones": {
      "rectangle": [
        {
          "width": 3,
          "top": 17,
          "height": 1,
          "left": 35
        },
        {
          "width": 4,
          "top": 20,
          "height": 1,
          "left": 35
        }
      ]
    },
    "mole": {
      "rectangle": [
        {
          "width": 3,
          "top": 17,
          "height": 1,
          "left": 35
        },
        {
          "width": 4,
          "top": 20,
          "height": 1,
          "left": 35
        }
      ]
    },
    "skin_spot": {
      "rectangle": [
        {
          "width": 3,
          "top": 17,
          "height": 1,
          "left": 35
        },
        {
          "width": 4,
          "top": 20,
          "height": 1,
          "left": 35
        }
      ]
    }
  }
}

Code example

• Introduction

• Code example